Fast feature-based vector quantization algorithm of image coding

YihChuan Lin; Shen-Chuan Tai

doi:10.1117/12.210743

1 October 1995 Fast feature-based vector quantization algorithm of image coding

YihChuan Lin, Shen-Chuan Tai

Author Affiliations +

Optical Engineering, Vol. 34, Issue 10, (October 1995). https://doi.org/10.1117/12.210743

Abstract

A fast vector quantization algorithm is presented that exploits the spatial redundancy between neighboring vectors of pixels in an image to improve the performance of the triangle inequality elimination ruler, and employs the integral projection technique, a dimension-reduction method, to reduce the computational complexity of calculating distortion measure. Application of dimension reduction in distortion measures may result in some degradation of objective image quality. But a significant complexity reduction of over 90% in comparison with the conventional full-search method can be achieved. The degradation of image quality is only less than 0.2 dB in peak signal-to-noise ratio (PSNR). Acceptable image quality should be obtained successfully.

Citation Download Citation

YihChuan Lin and Shen-Chuan Tai "Fast feature-based vector quantization algorithm of image coding," Optical Engineering 34(10), (1 October 1995). https://doi.org/10.1117/12.210743

Published: 1 October 1995

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available